• Journal of Digital Convergence
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• v.18 no.3
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• pp.305-310
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• 2020

Lately the increase of unemployment and freeters, the use of mobile applications for part-time jobs has been increasing. This study identifies the problems of mobile job applications and focuses on domestic applications: 'Albamon' and 'Albachunkuk'. By conducting surveys and in-depth interviews based on Peter Morville's Honeycomb model. The usability assessment, the proposed improvement results are as follows: First, unhealthy establishments and overlapping job blocking filters should be further strengthened. Second, a design to tailor to the 20s age group, who are the main user of the application, is needed. Third, a fully customized part-time job listing is needed for users on the application landing page. Fourth, the application requires verification procedures for the document preparation regarding work contracts and reporting of employers. This study hopes to add to the improvement of job-seeking application services in Korea.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.445-456
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• 2021

In this study, we examine the effects of five needs satisfaction on job satisfaction and turnover intention based on Maslow's hierarchy of needs for clinical nurses. Also, this was a convergence study that confirmed the mediating effect of job satisfaction on the relationship between need satisfaction and turnover intention. The participants were 239 clinical nurses at a general hospital located in Seoul. The collected data were analyzed for mediating effects using hierarchical regression analysis and PROCESS Macro (Model 4). Physiological and safety needs did not have a significant effect on job satisfaction while belongingness, esteem, and self-actualizations need had a significant positive effect on job satisfaction. On the other hand, physiological and esteem needs had a significant negative effect on turnover intention. In addition, the mediating effect of job satisfaction was significant in the relationship between need satisfaction (physiological, safety, belongingness, and self-actualization needs) and turnover intention. We confirm that an increase in the satisfaction of the five needs of clinical nurses can reduce their turnover intention. Therefore, we suggest that it is necessary to effectively manage need satisfaction and job satisfaction in the clinical field.

• Journal of the Korean Applied Science and Technology
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• v.40 no.4
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• pp.906-912
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• 2023

This study attempted to reveal the influence of the exchange relationship (TMX) between Pilates leaders and members on job performance. Accordingly, from April 1 to July 12, 2023, 82 lines of couple data (164 people: 82 leaders, 82 members) were sampled and the following results were derived. First, the higher the leader exchange relationship, the higher the leader's job performance, and the higher the member exchange relationship, the higher the leader's job performance. Second, it can be seen that the higher the leader exchange relationship, the higher the member's job performance, and the higher the member exchange relationship, the higher the member's job performance. Therefore, it can be seen as a result of reflecting the systematic demand for exchange activities because the dependent relationship leads to active job participation through mutual relationships with colleagues.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.531-554
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• 2007

This paper suggests a new model connecting various knowledge activities through classification systems such as classifications of research, technology, industry, major and job. Although research activities are linked to technology and industry areas or to education and job areas, there is no effort to link these kinds of activities. There are a few studies to link research and technology or research and education respectively. But, there have been no studies to connect technology-industry linkage and education-job linkage. This paper suggests that research area can be a basis of link between technology-industry linkage and education-job linkage. The methods building the links are not simple, but easy; 1) setting up new science/research classification system having two dimensions of research and application, 2) building electronic systems and databases allowing fields for several classification systems, and 3) making rules using multi-dimensional classification systems following the purpose of the programs. The model is designed to meet the needs of nationwide R&D and human resources policies, and for the preparation of knowledge society to grasp the relationship between sequential activities using knowledge. If we know the interactive relationships between various areas, we can trace related phenomena in different activities with restricted information.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.596-609
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• 2014

The purpose of this study was to propose and test a path that explains and predicts Korean nurses' intention to stay. A survey using a structured questionnaire was conducted with 217 nurses and six instruments were used in the model. The data were analyzed using SPSS 20.0 and Amos 18.0 program. Based on the theoretical model, a significant correlation between all factors and the hygiene factor and motivation factor had a significant direct effect on the job satisfaction of nurses. In addition, factors such as job satisfaction, and distributive fairness directly affected the intention to stay and indirectly affected the hygiene factor and motivation factor. The final modified model yielded ${\chi}^2=2.681$, p=.433), GFI= .98, RMSEA=.001, NFI=.99, CFI=.99, GFI=.97 and good fit indices. This comprehensive model explains the related factors and their relationship with Korean nurses' intention to stay. Findings from this study can be used to design appropriate strategies to further increase Korean nurses' job satisfaction and intention to stay.

• Journal of Technology Innovation
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• v.24 no.3
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• pp.139-159
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• 2016

The purpose of this study is to find out the factors which promoting career development of scientist and engineer laborforce. We made up three logit analysis models to figure out the factors affecting the career of scientist and engineer laborforce. Dependent variables were composed of job attributes in 2011, current job attribute, changing of working conditions, efforts of job seeking, university education, and personal characters. Three analysis model were composed of demand side model which including job attributes factors, supply side model which focus on employment or university education characters and total model including the demand and the supply factors. The results showed a stable career to the development of scientist and engineer laborforce's job attributes on the demand side than the supply side, such as a college education even more important. After all, the initial stable jobs and good matching policy were the most important policies to be seated in the science and engineering professions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.171-182
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• 2017

Most people seek a happy life and happiness positively affects sentiment, satisfaction with life, creativity, human relationship, business productivity, and even health and life extension. However, according to a survey in 2013, subjective happiness of adolescents (including university students) was very low compared to other age groups in Korea. Therefore this paper examined the effects of job-seeking stress, appearance recognition, financial situation, trust in government, and locus of control on university students' happiness using SEM (structural equation modeling). 207 university students in Seoul, Korea have been surveyed. At first, an initial experimental SEM model among these variables has been set up and reliability analysis has been conducted. Then multiple regression analyses on job-seeking stress and happiness as well as SEM analysis have been conducted. As a result of these analyses, the SEM model has been revised two times. The final SEM model passed the goodness-of-fit test (using RMR, GFI, NFI, CFI, and IFI indices). The final SEM model showed the followings. First, Higher job-seeking stress (especially sentimental part, rather than environment or action related parts) negatively affects happiness. Second, Trust in government also affects happiness both directly and indirectly. Third, Locus of control is affected both by trust in government and financial situation. Fourth, appearance recognition heavily affects job-seeking stress. In addition, appearance importance is higher than appearance interest, meaning that students who are not very interested in appearance usually recognize the importance of appearance. Finally, happiness is affected neither financial situation nor appearance recognition. Therefore, even either they are in a poor financial situation or not happy with their appearance, they can be happy if they have firm locus of control.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.1
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• pp.14-22
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• 2002

We propose the fuzzy BCMP queueing network model for the performance evaluation of distributed processing system with the ambiguous arrival rates of job, service requirements, and service rates of server by the network environments. This model is classified as the open and closed type whether or not the network accepts jobs from the system outside. We derived the measures for system performances such as the job average spending time, average job number in the system and server utilizations using fuzzy mean value analysis which can process the fuzzy factors for both types. Computer simulation was performed for verifying the effectiveness of derived equations of performance evaluation. The fuzzy BCMP queueing network model was evaluated according to the fuzzy arrival rates of job, the number of clients, and the fuzzy service requirements of job for each the open and closed type. The results were agreed with the predicted performance evaluations of the system.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.265-279
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• 2018

This study conducted an experiment using data mining techniques to develop prediction models of worker job turnover. The experiment used data from the '2015 Graduate Occupational Mobility Survey' by the Korea Employment Information Service. We developed the prediction models using a decision tree, Bayes net, and artificial neural network. We found that the decision tree-based prediction model reported the best accuracy. We also found that the six influential factors affecting employees' turnover intention are type of working time, job status, full-time or not full-time, regular working hours per week, regular working days per week, and personal development opportunities. From the decision tree-based prediction model, we derived 12 rules of employee turnover for all job types. Using the derived rules, we proposed helpful directions for enhancing workers' job tenure. In addition, we analyzed the influential factors affecting employees' job turnover intention according to four job types and derived rules for each: office (ten rules), culture and art (nine rules), construction (four rules), and information technology (six rules). Using the derived rules, we proposed customized directions for improving the job tenure for each group.

• Survey Research
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• v.12 no.2
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• pp.113-144
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• 2011

The purposes of the present study were (1) to identify the latent classes depending on youth employees' trajectories in job satisfaction and turnover intention and (2) to test the effects of person-job fit(major fit, education level fit, skill level fit) on job satisfaction and turnover intention using Youth Panel 2001. In order to estimate latent classes of job satisfaction and turnover intention changes simultaneously and study probabilities linking latent class membership in trajectory across the two variables, we applied dual trajectory model, an extension of semi-parametric group-based approach, Results showed that four latent classes were identified for job satisfaction, which were defined, based on the trajectory patterns, as increasing group, decreasing group, medium-level group, and high-level group. And, three latent classes estimated for turnover intention were defined as low-level group, maintaining group, and rapidly decreasing group. To test the effects of person-job fit variables, we added the variables as time-dependant variables to the unconditional latent class model. The effect of education level fit and skill level fit were found significant in the groups which are low in job satisfaction and have high in turnover intention. Findings from this study suggest the need to consider trajectory heterogeneity in the study of youth employees' job satisfaction and turnover intention to capture the dynamic dimension of overlap between the two constructs.